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DimensionKinocutGuardrailed video editing MCP server for AI agentsHevy MCPManage your Hevy workout data from AI assistants via MCP.
FMRS66 / 100 · C77 / 100 · B
Reliability10 / 2012 / 20
Security and permissions11 / 2016 / 20
Maintenance15 / 2016 / 20
Documentation16 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • AI agent builders who want local video editing, captioning, repurposing, and quality gating
  • Developers and creators already using MCP clients such as Claude Code or Cursor
  • Local media operators who want typed, guardrailed FFmpeg operations with traceable artifacts instead of guessed flags
  • Hevy PRO users who want AI assistants to directly access their workout data
  • People who prefer using MCP clients like Claude, Cursor, Codex for fitness tracking
  • Anyone needing summaries and insights from their training data
Not for
  • Users who want a hosted cloud editor or credit-metered SaaS
  • Users who want an untyped shell wrapper for arbitrary FFmpeg commands
  • Anyone unwilling to install FFmpeg (and optionally Node.js, Whisper, and other extras) locally
  • People expecting to edit raw Insta360 .insv or GoPro .360 files directly — you must export a stitched equirect MP4 from the camera app first
  • Users without a Hevy PRO subscription (API key required)
  • Users who want to use the server without an API key
  • Those needing delete workflows (Hevy API does not expose delete endpoints)
Required permissions
  • Read and write local media files and output directories (editing, exporting, receipts)
  • Execute local FFmpeg/ffprobe subprocesses
  • Read local project/data directories (for example the ~/.mcp-video compatible data dir)
  • Optional: network access for Hyperframes features, website capture, or installing Python extra dependencies
  • Optional: C2PA signing requires c2patool plus a local manifest/signer
  • Requires HEVY_API_KEY environment variable for Hevy API authentication
  • Can create, update, and replace workouts, routines, folders, templates, and body measurements via tools
  • Read operations can fetch workouts, routines, folders, templates, history, and user info
Risks and side effects
  • Agents may produce poor or broken video: the README explicitly requires video_quality_check, release checkpoints, and human visual/audio inspection before publishing
  • Risk of overwriting source media: rescue and derivative flows claim the source stays immutable, but you should still back up important footage
  • Optional extras are large (transcribe ~1 GB, stems ~2 GB, upscale ~2 GB), consuming significant disk and install time
  • Depends on a local external toolchain (FFmpeg, plus Node.js 22+ for Hyperframes), so environment drift causes failures
  • Optional capabilities such as website capture, local speech, or AI background removal may involve network access and extra licensing/compliance review
  • Some README surfaces (desktop MCPB packaging, deeper Sonic World Audio integration, the trusted execution kernel, generative spend-cap plans) are gated, partial, or unreleased and should not be treated as stable shipped features
  • API key can be misused if leaked; do not expose in URLs, logs, or screenshots
  • Create operations may produce duplicates on retry; update operations replace existing records
  • The server sends data to the Hevy API and may send telemetry to external services unless disabled
Supported clientsClaude Code, Claude Desktop, CursorClaude Desktop, Cursor, Codex, Antigravity
Tools1926